What you receive

Many organisations already use AI, but have no clear view of all its uses, of the data it reaches, or of who answers for its results.

AGORA surveys the initiatives within the agreed scope, assesses the organisation's readiness, and turns findings into concrete decisions. In four weeks we deliver an assessment and a prioritised roadmap for the next 90 days.

  • Visibility

    Understand where and how AI is being used across the cases surveyed.

  • Control

    Identify risks, ownership, and gaps in data and governance.

  • Decision

    Decide what to continue, what to correct and what to prioritise in a 90-day roadmap.

The six deliverables

  • AI Inventory
  • Maturity Score
  • Risk Heatmap
  • Governance Gaps
  • Data Readiness
  • 90-Day Roadmap

What it is, and what it is not

This is not an independent audit or a certification. It is consulting work: it organises readiness and sets out, in writing, what is missing and in what order.

Four maturity levels

The assessment places the organisation on one of these levels, with the evidence behind it.

  1. G0Informal
  2. G1Defined
  3. G2Managed
  4. G3Optimised

What counts as evidence

What counts is what is documented: the register of AI systems, the approved policy, impact assessments and vendor reviews.

See the full scale in the framework
What each deliverable looks like6 illustrative examples, with fictional data

The examples below are fictional and labelled as such. None come from a client: they exist so you can see the shape of what you receive, not to suggest results.

Illustrative example · fictional data

AI inventory

Which systems are in use, who is accountable for each, and what data they work with. It is usually the first time the organisation sees it in a single table.

AI inventory — Illustrative example · fictional data
Use caseOwnerTypeData usedCriticalityRiskGovernance
Customer response assistantCustomer serviceGenerative AITicket historyHighHighNo policy
Collections prioritisationFinancePredictive modelReceivablesMediumMediumPartial
Technical documentation summaryEngineeringGenerative AIInternal repositoryLowLowCovered
Candidate screeningHuman resourcesClassificationRésumésHighHighNo policy
Predictive maintenanceOperationsTime seriesPlant telemetryHighMediumPartial

Illustrative example · fictional data

Maturity level

Where the organisation stands today in each dimension, on the framework's scale.

  • Governance architectureG1
  • Risk and impact managementG1
  • Transparency and auditG0
  • Privacy and data protectionG2
  • Security and resilienceG2
  • Third parties and supply chainG0

G0 informal · G1 defined · G2 managed · G3 optimised. The level describes a state; it does not grade anyone.

Illustrative example · fictional data

Risk heatmap

Where exposure concentrates. Each cell counts use cases, not a score: the number says how many systems fall there.

Impact on the affected person

Risk heatmap
LowMediumHigh
High0 · Impact on the affected person High · Likelihood of occurrence Low11 · Impact on the affected person High · Likelihood of occurrence Medium22 · Impact on the affected person High · Likelihood of occurrence High
Medium11 · Impact on the affected person Medium · Likelihood of occurrence Low22 · Impact on the affected person Medium · Likelihood of occurrence Medium11 · Impact on the affected person Medium · Likelihood of occurrence High
Low22 · Impact on the affected person Low · Likelihood of occurrence Low11 · Impact on the affected person Low · Likelihood of occurrence Medium0 · Impact on the affected person Low · Likelihood of occurrence High

Likelihood of occurrence

The impact axis measures consequences for whoever receives the decision, not for the project.

Illustrative example · fictional data

Governance gaps

What is missing to hold the next level, by catalogue chapter.

  • Not coveredGovernance architectureNo decision body constituted and no owners per use case.
  • PartialRisk and impact managementA risk register exists, without classification by consequence for the affected person.
  • Not coveredTransparency and auditAssisted decisions leave no reconstructable trace.
  • CoveredPrivacy and data protectionLegal bases identified and a retention policy in force.
  • CoveredSecurity and resilienceBaseline applied and credential management documented.
  • Not coveredThird parties and supply chainNo AI clauses in vendor contracts.

Illustrative example · fictional data

Data readiness

Whether the data feeding each use case can actually support it: who owns it, what quality controls apply, whether it can be traced, and on what legal basis it is held.

Data readiness — Illustrative example · fictional data
Data sourceOwnerQualityTraceabilityLegal basis and retention
Support ticket historyCustomer response assistantFit for usePartialNot coveredNot covered
Accounts receivableCollections prioritisationFit for useFit for usePartialFit for use
Internal repositoryTechnical documentation summariesPartialPartialFit for useFit for use
RésumésCandidate screeningNot coveredNot coveredNot coveredPartial
Plant telemetryPredictive maintenanceFit for usePartialFit for useFit for use
  • Fit for use
  • Partial
  • Not covered

The crossing that matters: the least prepared source —résumés— feeds the most critical use case in the inventory. Read separately, neither board shows it.

Illustrative example · fictional data

90-day roadmap

What to do, in what order, and who answers for it. What comes first is not the biggest item: it is what reduces exposure fastest.

  1. 0–30 days

    Immediate controls

    • Freeze any use without an assigned owner
    • Classify by risk the cases already in production
    • Publish a baseline rule for AI use
  2. 31–60 days

    Ownership and policy

    • Constitute the decision body
    • Assign an owner per use case
    • Define which actions require human confirmation
  3. 61–90 days

    Data and monitoring

    • Inventory the sources feeding critical cases
    • Instrument decision traceability
    • Agree the review cadence

The four weeks

  1. Week 1

    Understand & inventory

    Which AI systems are in use, who uses them and with what data. It is usually the first time the organisation sees it together.

    Activities, participants and output · Week 1
    Activities
    • Initial alignment with leadership on what needs solving
    • Survey of use cases in production and in pilot
    • Interviews with the areas that already put systems to work
    Who takes part
    • Executive sponsor
    • Business
    • Technology
    What is reviewed
    • Tools contracted and in use
    • Existing documentation for each case
    • Current access and permissions
    What it closes with
    Initial AI landscape
    1 / 4
  2. Week 2

    Assess

    The state of the data feeding each case, the rules in force, ownership, and the controls that already exist.

    Activities, participants and output · Week 2
    Activities
    • Review of the data sources involved
    • Identifying ownership by decision, not by department
    • Comparing existing controls against the catalogue
    Who takes part
    • Data
    • Technology
    • Risk, Legal or Compliance
    What is reviewed
    • Internal policies and standards in force
    • Vendor contracts
    • Records of decisions and approvals
    What it closes with
    Assessment findings
    2 / 4
  3. Week 3

    Prioritise

    Which gaps are material, which risks are urgent, and in what order they are worth resolving.

    Activities, participants and output · Week 3
    Activities
    • Placement on the G0–G3 scale with the evidence behind it
    • Risk classification by consequence for the affected person
    • Ordering by impact, effort and dependencies
    Who takes part
    • Business
    • Risk, Legal or Compliance
    • Executive sponsor
    What is reviewed
    • Findings from the previous week
    • Priorities stated by the business
    What it closes with
    Prioritised findings
    3 / 4
  4. Week 4

    Decide

    What to do, in what order, with which owners, and what decisions leadership has to make.

    Activities, participants and output · Week 4
    Activities
    • Building the 90-day roadmap with named owners
    • Executive readout covering the pending decisions
    • Defining the next-step options
    Who takes part
    • Executive sponsor
    • Business
    • Technology
    • Data
    What is reviewed
    • Everything gathered over the previous three weeks
    What it closes with
    Decision package
    4 / 4

Not every organisation needs every role in every week. The list describes where the information usually comes from, not a calendar requirement.

What reaches the board

What closes the fourth week is not a report to file. The six pieces are arranged around the decisions the board has to take, and each decision arrives with the evidence behind it.

The decisions left on the table

  1. Which use cases continue, which are paused and which stop.

    Supported by: AI inventory · Risk heatmap

  2. Who answers for each system already in use.

    Supported by: Governance gaps

  3. Which data has to be made fit for use before scaling.

    Supported by: Data readiness

  4. What gets funded over the next 90 days, and who owns it.

    Supported by: 90-day roadmap · Maturity level

Next-step options are defined in that same session, with the board in the room. None of them requires engaging AGORA.

Two ways to start

One orients; the other decides. The quick one does not replace the assessment, and saying otherwise would be selling smoke.

Two ways to start
Two ways to startFree assessment12 questions · professional review · personalised response4-week assessmentAI readiness and governance · evidence-based · fixed price
Starting pointWhat you declare in the questionnaireEvidence gathered in your organisation
Professional review✓ Included✓ Included
Preliminary orientation✓ Included✓ Included
Formal AGORA maturity assessment— Not included✓ Included
AI inventory— Not included✓ Included
Risk heatmap— Not included✓ Included
Governance gaps— Not included✓ Included
Data readiness— Not included✓ Included
90-day roadmap— Not included✓ Included
Executive readout— Not included✓ Included

Free assessment

12 questions · professional review · personalised response

Starting point
What you declare in the questionnaire

Included

  • Professional review
  • Preliminary orientation

Not included

  • Formal AGORA maturity assessment
  • AI inventory
  • Risk heatmap
  • Governance gaps
  • Data readiness
  • 90-day roadmap
  • Executive readout

4-week assessment

AI readiness and governance · evidence-based · fixed price

Starting point
Evidence gathered in your organisation

Included

  • Professional review
  • Preliminary orientation
  • Formal AGORA maturity assessment
  • AI inventory
  • Risk heatmap
  • Governance gaps
  • Data readiness
  • 90-day roadmap
  • Executive readout

Who it is for

For organisations that already have AI running and need to decide what to do about it, not for those weighing whether to start.

  • Leadership has to answer for decisions a system now makes, and has nothing to answer with.
  • Tools are in use that arrived through different areas, without a single decision behind them.
  • It operates in a regulated context, or with data whose exposure carries consequences.
  • A pilot worked and scaling it raised questions that did not matter before.

It may not be the right fit if…

  • What you need is someone to build a model or a system.
  • You are looking to add technical people to a team that already knows what to do.
  • You need an independent audit or a formal certification.

The first is done better by technical teams; the last, by an accredited body. Saying so upfront saves us both a meeting.

Why AGORA

  • We do not sell the tool that would then have to be governed

    We do not resell platforms or licences. That removes the conflict of recommending what suits us to sell.

  • The person who talks to leadership leads the work

    There is no junior team executing behind a proposal signed by someone else.

  • Our own framework, not a generic template

    A catalogue of 325 controls mapped from ISO/IEC 42001, the EU AI Act and NIST AI RMF, selected in proportion to context.

  • We say what we do not do

    We do not audit or certify. We leave the organisation ready to present itself to whoever does.

Portrait of Pedro Pistoni, founder of AGORA Advisory.

Who leads the firm

Pedro Pistoni, lawyer and MBA, with more than fifteen years at the intersection of regulation, data and operations across Latin America's public and private sectors. He led Ciudad 3D, the Buenos Aires digital twin that won a 2022 World Smart City Award.

What happens next

The roadmap is yours and works whether or not you continue with us. That is not generosity: an assessment you can only act on by hiring whoever produced it is not an assessment, it is a sales proposal in disguise.

You execute it with your own teams
The plan is written with owners and sequence. If the capability is in-house, nobody else is needed.
You continue with one specific stage
Govern, operationalise or monitor and scale, according to what the assessment itself prioritised. The journey stages are not compulsory.
You do nothing for now
That is a decision too, and it is better made knowing what is being deferred.